Meta-connectomics: Human brain network and connectivity meta-Analyses

Psychological Medicine

Volumn 46, Issue 5, 2016, Pages 897-907

  Crossley, N A ^a,b   Fox, P T ^c,d   Bullmore, E T ^e,f,g  

^a KING'S COLLEGE LONDON   (United Kingdom)

^b PONTIFICIA UNIVERSIDAD CATÓLICA DE CHILE   (Chile)

^c UNIVERSITY OF TEXAS HEALTH SCIENCE CENTER AT SAN ANTONIO   (United States)

^d SOUTH TEXAS VETERANS HEALTH CARE SYSTEM   (United States)

^e UNIVERSITY OF CAMBRIDGE   (United Kingdom)

^f CAMBRIDGESHIRE AND PETERBOROUGH NHS FOUNDATION TRUST   (United Kingdom)

^g GLAXOSMITHKLINE   (United Kingdom)

Author keywords

Connectome; cytoarchitectonics; gene expression; graph theory; neuroimaging

Indexed keywords

ALZHEIMER DISEASE; COGNITION; CONNECTOME; DIAGNOSTIC IMAGING; GRAY MATTER; HUMAN; META ANALYSIS; NERVE CELL NETWORK; NERVE TRACT; NEUROIMAGING; NUCLEAR MAGNETIC RESONANCE IMAGING; PATHOPHYSIOLOGY; PROCEDURES; SCHIZOPHRENIA;

ALZHEIMER DISEASE; COGNITION; CONNECTOME; GRAY MATTER; HUMANS; MAGNETIC RESONANCE IMAGING; NERVE NET; NEURAL PATHWAYS; NEUROIMAGING; SCHIZOPHRENIA;

EID: 84955576878     PISSN: 00332917     EISSN: 14698978     Source Type: Journal    
DOI: 10.1017/S0033291715002895     Document Type: Review

References (70)

1. Bargmann CI, Marder E (2013). From the connectome to brain function. Nature Methods 10, 483-490.
2. Barron DS, Eickhoff SB, Clos M, Fox PT (2015). Human pulvinar functional organization and connectivity. Human Brain Mapping 36, 2417-2431.
3. Birn RM, Molloy EK, Patriat R, Parker T, Meier TB, Kirk GR, Nair VA, Meyerand ME, Prabhakaran V (2013). The effect of scan length on the reliability of resting-state fMRI connectivity estimates. NeuroImage 83, 550-558.
4. Bullmore E, Sporns O (2009). Complex brain networks: graph theoretical analysis of structural and functional systems. Nature Reviews Neuroscience 10, 186-198.
5. Bullmore ET, Frangou S, Murray RM (1997). The dysplastic net hypothesis: An integration of developmental and dysconnectivity theories of schizophrenia. Schizophrenia Research 28, 143-156.
6. Caspers J, Zilles K, Amunts K, Laird AR, Fox PT, Eickhoff SB (2014). Functional characterization and differential coactivation patterns of two cytoarchitectonic visual areas on the human posterior fusiform gyrus. Human Brain Mapping 35, 2754-2767.
7. Cauda F, Cavanna AE, D'Agata F, Sacco K, Duca S, Geminiani GC (2011). Functional connectivity and coactivation of the nucleus accumbens: A combined functional connectivity and structure-based meta-Analysis. Journal of Cognitive Neuroscience 23, 2864-2877.
8. Cieslik EC, Zilles K, Caspers S, Roski C, Kellermann TS, Jakobs O, Langner R, Laird AR, Fox PT, Eickhoff SB (2013). Is there 'one' DLPFC in cognitive action control? Evidence for heterogeneity from co-Activation-based parcellation. Cerebral Cortex 23, 2677-2689.
9. Crossley N, Mechelli A, Ginestet C, Rubinov M, Bullmore E, McGuire P (2015). Altered hub functioning and compensatory activations in the connectome: A meta-Analysis of functional neuroimaging studies in schizophrenia. Schizophrenia Bulletin. Published online: 15 October 2015. doi: 10. 1093/schbul/sbv146.
10. Crossley NA, Mechelli A, Scott J, Carletti F, Fox PT, McGuire P, Bullmore ET (2014). The hubs of the human connectome are generally implicated in the anatomy of brain disorders. Brain 137, 2382-2395.
11. Crossley NA, Mechelli A, Vertes PE, Winton-Brown TT, Patel AX, Ginestet CE, McGuire P, Bullmore ET (2013). Cognitive relevance of the community structure of the human brain functional coactivation network. Proceedings of the National Academy of Sciences USA 110, 11583-11588.
12. Crossley NA, Scott J, Ellison-Wright I, Mechelli A (2015). Neuroimaging distinction between neurological and psychiatric disorders. British Journal of Psychiatry 207, 429-434.
13. De Luca M, Beckmann CF, De Stefano N, Matthews PM, Smith SM (2006). fMRI resting state networks define distinct modes of long-distance interactions in the human brain. NeuroImage 29, 1359-1367.
14. Egger M, Smith GD, Sterne JA (2001). Uses and abuses of meta-Analysis. Clinical Medicine 1, 478-484.
15. Eickhoff SB, Bzdok D, Laird AR, Roski C, Caspers S, Zilles K, Fox PT (2011). Co-Activation patterns distinguish cortical modules, their connectivity and functional differentiation. NeuroImage 57, 938-949.
16. Eickhoff SB, Laird AR, Fox PT, Bzdok D, Hensel L (2016). Functional segregation of the human dorsomedial prefrontal cortex. Cerebral Cortex 26, 304-321.
17. Eickhoff SB, Laird AR, Grefkes C, Wang LE, Zilles K, Fox PT (2009). Coordinate-based activation likelihood estimation meta-Analysis of neuroimaging data: A random-effects approach based on empirical estimates of spatial uncertainty. Human Brain Mapping 30, 2907-2926.
18. Felleman DJ, Van Essen DC (1991). Distributed hierarchical processing in the primate cerebral cortex. Cerebral Cortex 1, 1-47.
19. Fodor JA (1983). The Modularity of Mind: An Essay on Faculty Psychology. MIT Press: Cambridge, Mass, London.
20. Fornito A, Zalesky A, Bullmore ET (2016). Fundamentals of Brain Network Analysis. Academic Press, in press.
21. Fox PT (1995). Spatial normalization origins: objectives, applications, and alternatives. Human Brain Mapping 3, 161-164.
22. Fox PT, Lancaster JL (2002). Opinion: mapping context and content: the BrainMap model. Nature Reviews Neuroscience 3, 319-321.
23. Fox PT, Lancaster JL, Laird AR, Eickhoff SB (2014). Meta-Analysis in human neuroimaging: computational modeling of large-scale databases. Annual Review of Neuroscience 37, 409-434.
24. Friston K (1994). Functional and effective connectivity in neuroimaging: A synthesis. Hum Brain Mapping 2, 56-78.
25. Friston KJ, Frith CD (1995). Schizophrenia: A disconnection syndrome? Clinical Neurosciences 3, 89-97.
26. Gong Q, He Y (2015). Depression, neuroimaging and connectomics: A selective overview. Biological Psychiatry 77, 223-235.
27. Goodkind M, Eickhoff SB, Oathes DJ, Jiang Y, Chang A, Jones-Hagata LB, Ortega BN, Zaiko YV, Roach EL, Korgaonkar MS, Grieve SM, Galatzer-Levy I, Fox PT, Etkin A (2015). Identification of a common neurobiological substrate for mental illness. JAMA Psychiatry 72, 305-315.
28. Gratton C, Nomura EM, Perez F, D'Esposito M (2012). Focal brain lesions to critical locations cause widespread disruption of the modular organization of the brain. Journal of Cognitive Neuroscience 24, 1275-1285.
29. Greicius M (2008). Resting-state functional connectivity in neuropsychiatric disorders. Current Opinion in Neurology 21, 424-430.
30. Harrison PJ (1999). The neuropathology of schizophrenia. A critical review of the data and their interpretation. Brain 122, 593-624.
31. Hawrylycz MJ, Lein ES, Guillozet-Bongaarts AL, Shen EH, Ng L, Miller JA, van de Lagemaat LN, Smith KA, Ebbert A, Riley ZL, Abajian C, Beckmann CF, Bernard A, Bertagnolli D, Boe AF, Cartagena PM, Chakravarty MM, Chapin M, Chong J, Dalley RA, Daly BD, Dang C, Datta S, Dee N, Dolbeare TA, Faber V, Feng D, Fowler DR, Goldy J, Gregor BW, Haradon Z, Haynor DR, Hohmann JG, Horvath S, Howard RE, Jeromin A, Jochim JM, Kinnunen M, Lau C, Lazarz ET, Lee C, Lemon TA, Li L, Li Y, Morris JA, Overly CC, Parker PD, Parry SE, Reding M, Royall JJ, Schulkin J, Sequeira PA, Slaughterbeck CR, Smith SC, Sodt AJ, Sunkin SM, Swanson BE, Vawter MP, Williams D, Wohnoutka P, Zielke HR, Geschwind DH, Hof PR, Smith SM, Koch C, Grant SG, Jones AR (2012). An anatomically comprehensive atlas of the adult human brain transcriptome. Nature 489, 391-399.
32. Kapur S, Phillips AG, Insel TR (2012). Why has it taken so long for biological psychiatry to develop clinical tests and what to do about it? Molecular Psychiatry 17, 1174-1179.
33. Kelly C, Zuo XN, Gotimer K, Cox CL, Lynch L, Brock D, Imperati D, Garavan H, Rotrosen J, Castellanos FX, Milham MP (2011). Reduced interhemispheric resting state functional connectivity in cocaine addiction. Biological Psychiatry 69, 684-692.
34. Koski L, Paus T (2000). Functional connectivity of the anterior cingulate cortex within the human frontal lobe: A brain-mapping meta-Analysis. Experimental Brain Research 133, 55-65.
35. Laird AR, Eickhoff SB, Li K, Robin DA, Glahn DC, Fox PT (2009). Investigating the functional heterogeneity of the default mode network using coordinate-based meta-Analytic modeling. Journal of Neuroscience 29, 14496-14505.
36. Laird AR, Eickhoff SB, Rottschy C, Bzdok D, Ray KL, Fox PT (2013). Networks of task co-Activations. NeuroImage 80, 505-514.
37. Laird AR, Fox PM, Eickhoff SB, Turner JA, Ray KL, McKay DR, Glahn DC, Beckmann CF, Smith SM, Fox PT (2011). Behavioral interpretations of intrinsic connectivity networks. Journal of Cognitive Neuroscience 23, 4022-4037.
38. Laird AR, Lancaster JL, Fox PT (2005). BrainMap: the social evolution of a human brain mapping database. Neuroinformatics 3, 65-78.
39. Mennes M, Biswal BB, Castellanos FX, Milham MP (2013). Making data sharing work: the FCP/INDI experience. NeuroImage 82, 683-691.
40. Patel AX, Kundu P, Rubinov M, Jones PS, Vertes PE, Ersche KD, Suckling J, Bullmore ET (2014). A wavelet method for modeling and despiking motion artifacts from resting-state fMRI time series. NeuroImage 95, 287-304.
41. Postuma RB, Dagher A (2006). Basal ganglia functional connectivity based on a meta-Analysis of 126 positron emission tomography and functional magnetic resonance imaging publications. Cerebral Cortex 16, 1508-1521.
42. Power JD, Barnes KA, Snyder AZ, Schlaggar BL, Petersen SE (2012). Spurious but systematic correlations in functional connectivity MRI networks arise from subject motion. NeuroImage 59, 2142-2154.
43. Radua J, Mataix-Cols D, Phillips ML, El-Hage W, Kronhaus DM, Cardoner N, Surguladze S (2012). A new meta-Analytic method for neuroimaging studies that combines reported peak coordinates and statistical parametric maps. European Psychiatry 27, 605-611.
44. Raichle ME, Snyder AZ (2007). A default mode of brain function: A brief history of an evolving idea. NeuroImage 37, 1083-1090; discussion 1097-9.
45. Raj A, Kuceyeski A, Weiner M (2012). A network diffusion model of disease progression in dementia. Neuron 73, 1204-1215.
46. Rajkowska G, Selemon LD, Goldman-Rakic PS (1998). Neuronal and glial somal size in the prefrontal cortex: A postmortem morphometric study of schizophrenia and Huntington disease. Archives of General Psychiatry 55, 215-224.
47. Richiardi J, Altmann A, Milazzo AC, Chang C, Chakravarty MM, Banaschewski T, Barker GJ, Bokde AL, Bromberg U, Buchel C, Conrod P, Fauth-Buhler M, Flor H, Frouin V, Gallinat J, Garavan H, Gowland P, Heinz A, Lemaitre H, Mann KF, Martinot JL, Nees F, Paus T, Pausova Z, Rietschel M, Robbins TW, Smolka MN, Spanagel R, Strohle A, Schumann G, Hawrylycz M, Poline JB, Greicius MD (2015). Brain networks. Correlated gene expression supports synchronous activity in brain networks. Science 348, 1241-1244.
48. Robinson JL, Laird AR, Glahn DC, Blangero J, Sanghera MK, Pessoa L, Fox PM, Uecker A, Friehs G, Young KA, Griffin JL, Lovallo WR, Fox PT (2012). The functional connectivity of the human caudate: An application of meta-Analytic connectivity modeling with behavioral filtering. NeuroImage 60, 117-129.
49. Robinson JL, Laird AR, Glahn DC, Lovallo WR, Fox PT (2010). Metaanalytic connectivity modeling: delineating the functional connectivity of the human amygdala. Human Brain Mapping 31, 173-184.
50. Scannell JW, Blakemore C, Young MP (1995). Analysis of connectivity in the cat cerebral cortex. Journal of Neuroscience 15, 1463-1483.
51. Scholtens LH, Schmidt R, de Reus MA, van den Heuvel MP (2014). Linking macroscale graph analytical organization to microscale neuroarchitectonics in the macaque connectome. Journal of Neuroscience 34, 12192-12205.
52. Seeley WW, Crawford RK, Zhou J, Miller BL, Greicius MD (2009). Neurodegenerative diseases target large-scale human brain networks. Neuron 62, 42-52.
53. Shulman GL, Fiez JA, Corbetta M, Buckner RL, Miezin FM, Raichle ME, Petersen SE (1997). Common blood flow changes across visual tasks: II. Decreases in cerebral cortex. Journal of Cognitive Neuroscience 9, 648-663.
54. Smith SM, Fox PT, Miller KL, Glahn DC, Fox PM, Mackay CE, Filippini N, Watkins KE, Toro R, Laird AR, Beckmann CF (2009). Correspondence of the brain's functional architecture during activation and rest. Proceedings of the National Academy of Sciences USA 106, 13040-13045.
55. Spence SA, Liddle PF, Stefan MD, Hellewell JS, Sharma T, Friston KJ, Hirsch SR, Frith CD, Murray RM, Deakin JF, Grasby PM (2000). Functional anatomy of verbal fluency in people with schizophrenia and those at genetic risk. Focal dysfunction and distributed disconnectivity reappraised. British Journal of Psychiatry 176, 52-60.
56. Sporns O (2011). Networks of the Brain. MIT Press.
57. Stephan KE, Friston KJ, Frith CD (2009). Dysconnection in schizophrenia: from abnormal synaptic plasticity to failures of self-monitoring. Schizophrenia Bulletin 35, 509-527.
58. Stephan KE, Kamper L, Bozkurt A, Burns GA, Young MP, Kotter R (2001). Advanced database methodology for the collation of connectivity data on the macaque brain (CoCoMac). Philosophical Transactions of the Royal Society of London, Series B: Biological Sciences 356, 1159-1186.
59. Uddin LQ, Kinnison J, Pessoa L, Anderson ML (2014). Beyond the tripartite cognition-emotion-interoception model of the human insular cortex. Journal of Cognitive Neuroscience 26, 16-27.
60. van den Heuvel MP, Scholtens LH, Feldman Barrett L, Hilgetag CC, de Reus MA (2015). Bridging cytoarchitectonics and connectomics in human cerebral cortex. Journal of Neuroscience 35, 13943-13948.
61. van den Heuvel MP, Sporns O (2011). Rich-club organization of the human connectome. Journal of Neuroscience 31, 15775-15786.
62. van den Heuvel MP, Sporns O, Collin G, Scheewe T, Mandl RC, Cahn W, Goni J, Hulshoff Pol HE, Kahn RS (2013). Abnormal rich club organization and functional brain dynamics in schizophrenia. JAMA Psychiatry 70, 783-792.
63. Van Essen DC, Smith SM, Barch DM, Behrens TE, Yacoub E, Ugurbil K (2013). The WU-Minn human connectome project: An overview. NeuroImage 80, 62-79.
64. Van Horn JD, Gazzaniga MS (2013). Why share data? Lessons learned from the fMRIDC. NeuroImage 82, 677-682.
65. Vul E, Harris C, Winkielamn P, Pashler H (2009). Puzzlingly high correlations in fMRI studies of emotion, personality, and social cognition. Perspectives on Psychological Science 4, 274-290.
66. Warren DE, Power JD, Bruss J, Denburg NL, Waldron EJ, Sun H, Petersen SE, Tranel D (2014). Network measures predict neuropsychological outcome after brain injury. Proceedings of the National Academy of Sciences USA 111, 14247-14252.
67. Wasserman S, Faust K (1994). Social Network Analysis: Methods and Applications. Cambridge University Press: USA.
68. Wright IC, Rabe-Hesketh S, Woodruff PW, David AS, Murray RM, Bullmore ET (2000). Meta-Analysis of regional brain volumes in schizophrenia. American Journal of Psychiatry. 157, 16-25.
69. Zhou J, Gennatas ED, Kramer JH, Miller BL, Seeley WW (2012). Predicting regional neurodegeneration from the healthy brain functional connectome. Neuron 73, 1216-1227.
70. Zilles K, Amunts K (2010). Centenary of Brodmann's map-conception and fate. Nature Reviews. Neuroscience 11, 139-145.